Demonstrating a V2X Enabled System for Transition of Control and Minimum Risk Manoeuvre When Leaving the Operational Design Domain. Schulte-Tigges, J., Matheis, D., Reke, M., Walter, T., & Kaszner, D. In HCI in Mobility, Transport, and Automotive Systems (HCII 2023), volume 14048, of Lecture Notes in Computer Science, pages 200–210, Cham, 2023. Springer Nature Switzerland.
Demonstrating a V2X Enabled System for Transition of Control and Minimum Risk Manoeuvre When Leaving the Operational Design Domain [link]Springer  doi  abstract   bibtex   
Modern implementations of driver assistance systems are evolving from a pure driver assistance to a independently acting automation system. Still these systems are not covering the full vehicle usage range, also called operational design domain, which require the human driver as fall-back mechanism. Transition of control and potential minimum risk manoeuvres are currently research topics and will bridge the gap until full autonomous vehicles are available. The authors showed in a demonstration that the transition of control mechanisms can be further improved by usage of communication technology. Receiving the incident type and position information by usage of standardised vehicle to everything (V2X) messages can improve the driver safety and comfort level. The connected and automated vehicle's software framework can take this information to plan areas where the driver should take back control by initiating a transition of control which can be followed by a minimum risk manoeuvre in case of an unresponsive driver. This transition of control has been implemented in a test vehicle and was presented to the public during the IEEE IV2022 (IEEE Intelligent Vehicle Symposium) in Aachen, Germany.
@InProceedings{ Schulte-Tigges-etAl_HCII2023_Demonstrating-V2X,
  author       = "Schulte-Tigges, Joschua and Matheis, Dominik and Reke, Michael and Walter, Thomas and Kaszner, Daniel",
  editor       = "Kr{\"o}mker, Heidi",
  title        = "Demonstrating a {V2X} Enabled System for Transition of Control and
                  Minimum Risk Manoeuvre When Leaving the Operational Design Domain",
  booktitle    = "HCI in Mobility, Transport, and Automotive Systems (HCII 2023)",
  year         = "2023",
  publisher    = "Springer Nature Switzerland",
  address      = "Cham",
  pages        = "200--210",
  series       = {Lecture Notes in Computer Science},
  volume       = {14048},
  url_springer = {https://link.springer.com/chapter/10.1007/978-3-031-35678-0_12},
  doi          = {10.1007/978-3-031-35678-0_12},
  abstract     = "Modern implementations of driver assistance systems
                  are evolving from a pure driver assistance to a
                  independently acting automation system. Still these
                  systems are not covering the full vehicle usage
                  range, also called operational design domain, which
                  require the human driver as fall-back
                  mechanism. Transition of control and potential
                  minimum risk manoeuvres are currently research
                  topics and will bridge the gap until full autonomous
                  vehicles are available. The authors showed in a
                  demonstration that the transition of control
                  mechanisms can be further improved by usage of
                  communication technology. Receiving the incident
                  type and position information by usage of
                  standardised vehicle to everything (V2X) messages
                  can improve the driver safety and comfort level. The
                  connected and automated vehicle's software framework
                  can take this information to plan areas where the
                  driver should take back control by initiating a
                  transition of control which can be followed by a
                  minimum risk manoeuvre in case of an unresponsive
                  driver. This transition of control has been
                  implemented in a test vehicle and was presented to
                  the public during the IEEE IV2022 (IEEE Intelligent
                  Vehicle Symposium) in Aachen, Germany.",
  isbn         = "978-3-031-35678-0"
}

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